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SEISMIC FORECAST USING GEOSTATISTICS

机译:利用地统计学进行地震预测

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The main idea of this research branch consists in the special way of constructing a new type of mathematical function as being a correlation between a computed statistical quantity and another physical quantity. This type of function called position function was taken over by the authors of this study in the field of seismology with the hope of solving - at least partially - the difficult problem of seismic forecast [1], [4]. The geostatistic method of analysis focuses on the process of energy accumulation in a given seismic area, completing this analysis by a so-called loading function. This function - in fact a temporal function - describes the process of energy accumulation during a seismic cycle from a given seismic area. It was possible to discover a law of evolution of the seismic cycles that was materialized in a so-called characteristic function. This special function will help us to forecast the magnitude and the occurrence moment of the largest earthquake in the analysed area. Since 2000, the authors have been evolving to a new stage of testing: real - time analysis, in order to verify the quality of the method. There were five large earthquakes forecasts.
机译:该研究分支的主要思想在于构建一种新型数学函数的特殊方式,该数学函数是计算的统计量与另一个物理量之间的关联。这项研究的作者在地震学领域接管了这种称为位置函数的函数,希望能够(至少部分地)解决地震预报的难题[1],[4]。地统计分析方法着重于给定地震区域中的能量积累过程,并通过所谓的加载函数完成该分析。该函数-实际上是时间函数-描述了从给定地震区域开始的地震周期中的能量积累过程。有可能发现在所谓的特征函数中实现的地震循环的演化定律。此特殊功能将帮助我们预测分析区域内最大地震的震级和发生时刻。自2000年以来,作者一直发展到一个新的测试阶段:实时分析,以验证该方法的质量。有五个大地震的预报。

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